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Mendeley readers
Attention Score in Context
| Title |
Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability
|
|---|---|
| Published in |
PLoS Computational Biology, August 2012
|
| DOI | 10.1371/journal.pcbi.1002656 |
| Pubmed ID | |
| Authors |
Jie Zhang, Kewei Lu, Yang Xiang, Muhtadi Islam, Shweta Kotian, Zeina Kais, Cindy Lee, Mansi Arora, Hui-wen Liu, Jeffrey D. Parvin, Kun Huang |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Switzerland | 1 | 1% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Denmark | 1 | 1% |
| India | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 85 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 31% |
| Researcher | 20 | 20% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 51% |
| Computer Science | 15 | 15% |
| Biochemistry, Genetics and Molecular Biology | 14 | 14% |
| Medicine and Dentistry | 3 | 3% |
| Engineering | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 12 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2021.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#5,638
of 8,960 outputs
Outputs of similar age
#64,185
of 187,628 outputs
Outputs of similar age from PLoS Computational Biology
#47
of 98 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 187,628 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.